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检索条件"任意字段=1st International Conference on the Art, Science and Engineering of Programming, Programming 2017"

共 643 条记录，以下是31-40 订阅

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A Web-Based Real Time Chat Application for User Friendly Interaction 1

A Web-Based Real Time Chat Application for User Friendly Int...

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1st international conference on Advanced Computing and Emerging Technologies, ACET 2024

作者： Rawat, Varun Jain, Paras Tomar, Ankit Guzar, Piyush Negi, Vivek Gupta, Vishan Kumar Graphic Era Deemed to Be University Department of Cse Uttarakhand Dehradun India Vit Bhopal University School of Computing Science and Engineering and Artificial Intelligence Madhya Pradesh Kothri Kalan India Amity University Punjab Amity School of Engineering and Technology Mohali India

ISBN: (纸本)9798350367720

Given that business and social relations in the contemporary world are vastly mediated by digital communication, it is imperative to evoke effective and client-oriented chat applications. The following work tries of creating a chat application, which was programmed using python. The mobile app is a synergy towards the societal shift in the meeting and greeting of people via the internet using a safe and inclusive, service-packed approach. Making use of features such as real-time communication, the application guarantees the immediacy of the communication making the interaction between users active and engaging. Possibly the most important factor, security is provided in the context of encryption, ensuring users' data is securely encrypted from one end to the other and authentication. Features like extensive settings allow the user to control the look and feel of the chat and Python supports numerous platforms to run this chat. This paper embodies a work of multidisciplinary nature;team members with proficiency in python programming, UI/UX designing, and database setup. Pre- and post-launch test documentation on the Chat App and feedback from the users show the effort that has been invested in creating a sound communication tool that is fun to use. © 2024 IEEE.

关键词： Python

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15th international Workshop on engineering Service-Oriented Applications and Cloud Services, WESOACS 2019, the 4th international Workshop on Adaptive Service-Oriented and Cloud Applications, ASOCA 2019, the 4th international IoT Systems Provisioning and Management for Context-Aware Smart Cities, ISYCC 2019, the 1st edition of Towards Blockchain-Based Collaborative Enterprise, TBCE 2019, and the 1st edition of Smart data integration And Processing on Service based environments, stRAPS 2019, held in conjunction with the 17th international conference on Service-Oriented Computing, ICSOC 2019

15th International Workshop on Engineering Service-Oriented ...

引用

15th international Workshop on engineering Service-Oriented Applications and Cloud Services, WESOACS 2019, the 4th international Workshop on Adaptive Service-Oriented and Cloud Applications, ASOCA 2019, the 4th international IoT Systems Provisioning and Management for Context-Aware Smart Cities, ISYCC 2019, the 1st edition of Towards Blockchain-Based Collaborative Enterprise, TBCE 2019, and the 1st edition of Smart data integration And Processing on Service based environments, stRAPS 2019, held in conjunction with the 17th international conference on Service-Oriented Computing, ICSOC 2019

ISBN: (纸本)9783030459888

The proceedings contain 29 papers. The special focus in this conference is on engineering Service-Oriented Applications and Cloud Services. The topics include: A Blockchain Based Solution for Securing Data of IoT Devices;Toward GDPR Compliance in IoT Systems;a Reconfigurable Microservice-Based Migration Technique for IoT Systems;towards the Creation of Be In/Be Out Model for Smart City with the Use of Internet of Things Concepts;ontology for Smart Viticulture: Integrating Inference Rules Based on Sensor Data;model-Driven engineering for Multi-party Interactions on a Blockchain – An Example;Smart Contract Locator (SCL) and Smart Contract Description Language (SCDL);measuring the Quality of Life in "La Condesa": Activating Mexico City Neighbourhood Economy While Maximising Well-Being;adaptive Agent-Based Architecture for Health Data Integration;constructing a Secured, Reactive and Scalable Data Platform for a Better Exploitation of Rich Data Assets in the Tourism Industry;freshening the Air in Microservices: Resolving Architectural Smells via Refactoring;towards Multi-level Trust-Driven Data Integration in Multi-cloud Environments;user-Oriented Description of Emerging Services in Ambient Systems;a Web-Component-Based Cross-Platform Mobile Application Development Environment for Ordinary Users;OSPAci: Online Sentiment-Preference Analysis of User Reviews for Continues App Improvement;ADS4all: Democratizing Authenticated Data structures;ProMoEE - A Lightweight Web Editor Supporting study Research on Process Models;The EDMM Modeling and Transformation System;blockMeds: A Blockchain-Based Online Prescription System with Privacy Protection;janus: A Tool to Modernize Legacy Applications to Containers;a programming Framework for People as a Service;Specifying Web Interfaces for Command-Line Applications Based on OpenAPI;microservices Management on Cloud/Edge Environments.

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Interim Analysis Using Machine Learning 1

Interim Analysis Using Machine Learning

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1st IEEE international conference on Electronics, Computing, Communication and Control Technology, ICECCC 2024

作者： Vennila, J. Prakash, V.S. Kotian, Himani Chitra, K. Sebastian, Liji Vijayan, Keerthi Basker, P. Esther Jenitha, K. Karnatka Manipal India Kristu Jayanti College Department of Computer Science Karnataka Bengaluru India Department of Community Medicine Karnataka India CMR Institute Of Technology Department of Electrical and Electronics Engineering Karnataka Bangalore India Periyar University Department of Statistics Karnataka Salem560077 India Kristu Jayanti College Department of Statistics Karnataka560077 India Kristu Jayanti College Department of Statistics Karnataka Bengaluru India Chandigarh University Punjab 140413 India Loyola College Department of Statistics Tamil Nadu Chennai34 India

ISBN: (纸本)9798350371802

The purpose of this article is to recalculate sample size by adjusting the initial design about trial results and taking uncertainty in power estimations into consideration throughout study preparation. This article examines two primary methods: Pocock and O'Brien/Fleming using R programming. Interim data analysis must be done far in advance to provide enough power and minimize the risk of having Type I errors. These results suggest that robust performance indicators have enabled improved comprehension of the study's development, notably increased control, more efficient use of resources (e.g., monitoring time), quicker enrolment, shorter operational timelines, and less expensive costs. © 2024 IEEE.

关键词： Machine learning

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Efficient Face Detection for Distinct Multimedia Using Object-Oriented programming 1

Efficient Face Detection for Distinct Multimedia Using Objec...

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1st international conference on Recent Developments in Electronics and Communication Systems, RDECS 2022

作者： Mishra, Pranshu Bharti, Gaurav Kumar Computer Science and Engineering Chandigarh University Mohali140413 India Electrical Engineering Department Chandigarh University Mohali140413 India

ISBN: (纸本)9781643683607

In this paper, face detection for multiple surveillance, and tracking has been proposed. This object-oriented programming has been used for data collection and other research fields. Software is designed to work with any computational device with a webcam and with python. With further development, it can also be used to fix recording as the camera can be automatically triggered to turn on and record the video until the person is visible. The proposed scheme has been verified using the Haar Cascade classifier and OpenCV platform. The different face detection platform for videos and cameras has been used to perform multiple tasks. © 2023 The authors and IOS Press.

关键词： Python

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On the SWIPT Based Task Offloading strategy of Multi-User D2D Assisted Mobile Edge Computing 1

On the SWIPT Based Task Offloading Strategy of Multi-User D2...

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1st IEEE international conference on Data Intelligence and Innovative Application, DIIA 2024

作者： Li, Taoshen Du, Lijun School of Information Engineering Nanning University Naning China School of Compter Electronics and Information Guangxi University Naning China

ISBN: (纸本)9798331504434

In the SWITP-based mobile edge computing (MEC) system, the device-to-device (D2D) communication technology is adopted to alleviate the performance load of MEC server caused by massive user requirements. A SWITP-based multi-user D2Dassisted MEC system model is constructed. Based on the model, a D2D-assisted MEC task offloading strategy is proposed to minimize the total energy consumption of requesting users under the constraints of data transmission rate, uplink transmission rate threshold and energy harvesting. In this strategy, the optimization problem is modeled as a nonlinear mixed integer programming problem. Firstly, the original problem is divided into two sub-problems: power allocation and task offloading. And then, the optimal power allocation scheme and optimal task offloading scheme are obtained by Dinkelbach method and Hungarian algorithm. Simulation results show that the proposed strategy can effectively reduce the energy consumption of requesting users, which shows that to a certain extent D2D communication technology can improve the system performance. © 2024 IEEE.

关键词： Mobile edge computing

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MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness 41

MILP-FBGen: LP/MILP Instance Generation with Feasibility/Bou...

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41st international conference on Machine Learning, ICML 2024

作者： Zhang, Yahong Fan, Chenchen Chen, Donghui Li, Congrui Ouyang, Wenli Zhu, Mingda Yan, Junchi AI Lab Lenovo Research Beijing China School of Artificial Intelligence Department of Computer Science and Engineering MoE Lab of AI Shanghai Jiao Tong University Shanghai China

Machine learning (ML) has been actively adopted in Linear programming (LP) and Mixed-Integer Linear programming (MILP), whose potential is hindered by instance *** synthetic instance generation methods often fall short in closely mirroring the distribution of original datasets or ensuring the feasibility and boundedness of the generated data - a critical requirement for obtaining reliable supervised labels in model *** this paper, we present a diffusion-based LP/MILP instance generative framework called *** strikes a balance between structural similarity and novelty while maintaining feasibility/boundedness via a meticulously designed structure-preserving generation module and a feasibility/boundedness-constrained sampling *** method shows superiority on two fronts: 1) preservation of key properties (hardness, feasibility, and boundedness) of LP/MILP instances, and 2) enhanced performance on downstream *** studies show two-fold superiority that our method ensures higher distributional similarity and 100% feasibility in both easy and hard datasets, surpassing current state-of-the-art techniques. Copyright 2024 by the author(s)

关键词： Mixed-integer linear programming

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AI-Driven Green Computing for 6G Network: Improve User Experience and Security 1

AI-Driven Green Computing for 6G Network: Improve User Exper...

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1st international conference on Advances in Computer science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Yadav, Rakesh Kumar Harinaiha, Adarsha Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Mechanical Engineering Karnataka Ramnagar India

ISBN: (纸本)9798331518578

A dynamic Computational Thinking resolution can be likely in a 6G environment by way of Green-IoT and artificial Intelligence (AI), important parts of computational thinking. This order requires lowering difficult problems to tinier, more controllable parts and recognizing patterns and friendships at intervals in miscellaneous parts. Machine intelligence approaches concentrate on algorithms capable of learning from data, making judgments and predictions, and executing complex tasks beyond explicit programming. To appreciate the far-reaching quantities of data presented by 6G-connected schemes, computational inference and machine intelligence can be used for the Green-IoT. This has the potential to reinforce the computerization of many processes and bring about a smarter and more efficient use of possessions. Computational thinking that combines Green-IoT, AI, and 6G sciences can transform many areas, including education, and reinforce society's lives through the production of brisker, more adept, and more tailor-made uses and services. The research has been started by outlining key limits utilizing Green-IoT-authorized sensor electronics in the framework of 5G and 6G surroundings, as well as artificial Intelligence, in this place study's review on computational thinking. In the subsequent section, delineate the fundamental structural requirements for a digital thinking paradigm centered on artificial intelligence and the Net of Things, significant aspects of prospective beneficial applications, and evaluate the advantages and disadvantages of each within the context of shared resources. Lastly, several security risks to an AI-based architecture that might compromise the system's ability to provide the computational thinking services that social media platforms need. © 2025 IEEE.

关键词： Economic and social effects

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Integration and refinement of Electrical power acquisition and marketing based on the Internet of Things 1

Integration and refinement of Electrical power acquisition a...

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1st IEEE international conference on Emerging Research in Computational science, ICERCS 2023

作者： Hussam, Ragheed Alkhafaji, Mohammed Ayad Rahim Alatba, Sura Hussain Ajeel Allami, Kadum Mohammed Al-Tahee, Mustafa Al-Farahidi University Medical Instruments Engineering Techniques Baghdad Iraq National University of Science and Technology Department of Medical Devices Engineering Technologies Nasiriyah Dhi Qar Iraq Al-Turath University College Computer Technologies Engineering Baghdad Iraq Al-Kitab University Department of Computer Engineering Technologies Kirkuk Iraq

ISBN: (纸本)9798350359756

In this age of rapid economic expansion and pervasive intelligence, intelligence collection regarding a country's energy grid is encouraged. The article proposes a system for gathering IoT device energy consumption data. Through investigating Power IoT and its connection to the Smart Grid, a data gathering system has three parts: smart metering, concentrators, and data management systems. The paper explains how the authors streamlined business processes by integrating the control terminal with the technical architecture and IT technologies underlying a cutting-edge cloud-based customer electrical power acquisition (EPA) construction. Electrical power acquisition and marketing based on the Internet of Things (EPAM-IoT) proposes a method to alleviate the major data center's processing, storage, and handling of massive amounts of data by leveraging the Internet of Things (IoT). By optimizing the local processing of information and timely data management, this architecture can assist in lightening the data transfer burden over the channel. The proposed approach takes into account multiple factors while determining performance. IoT application energy efficiency can be improved using the GA method. The outcomes were achieved via the C++ programming methodology. The simulations show that the proposed EPAM-IoT system, which consists of an IoT module, a cloud computing model, and improved learning performance, outperforms the state-of-the-art methods. © 2023 IEEE.

关键词： Internet of things

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Web Crawling and Scraping: A Survey 1

Web Crawling and Scraping: A Survey

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1st international conference on Healthcare Innovations, Software and engineering Technologies, HISET 2024

作者： Sharma, Gaurav Swami Rama Himalayan University Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350360707

Web scraping, often known as web crawling, is employing software to gather data from websites automatically. It is a procedure that is very crucial in domains like business intelligence in the digital era. This technological advancement enables the extraction of structured data from text, including HTML. Web Scraping is incredibly helpful when data is unavailable in a machine-readable format, such as XML or JSON. Web scraping can also gather intelligence on illegal businesses. It has been discovered that data obtained by utilizing a web scraping application is significantly more comprehensive, precise, and reliable than data entered by hand. Web scraping is a vital tool in contemporary disciplines and a beneficial tool in the information era. Web scraping requires various technologies, including pattern matching and spidering, which are covered. This paper examines web scraping's definition, methods, stages, technologies, relationships to cyber security, business intelligence, artificial intelligence, data science, big data, and cyber science;it also looks at how web scraping can be done using the Python programming language, some of its main advantages, and potential future developments. A particular focus is highlighting the ethical and legal issues surrounding web scraping. © 2024 IEEE.

关键词： Web crawler

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Optimizing QoS Management in Multi-RIS UAV Networks Using Reinforcement Learning and Evolutionary Algorithms 1

Optimizing QoS Management in Multi-RIS UAV Networks Using Re...

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1st international conference on Emerging Technologies for Dependable Internet of Things, ICETI 2024

作者： Elmadina, Nahla Nur Saeed, Mamoon M. Saeid, Elsadig Nafea, Ibtehal Department of Electrical Engineering Alzaiem Alazhari University Khartoum Sudan Yemen College of Computer Science and Engineering Taibah University Medina Saudi Arabia

ISBN: (纸本)9798331533557

Unmanned Aerial Vehicles (UAVs) have attracted considerable interest from researchers in both academia and industry due to their capability to deliver wireless services to ground devices in various contexts, including large-scale events like Hajj and Umrah in Madina. Their inherent adaptability and mobility make them particularly effective in these scenarios. However, UAVs encounter challenges such as limited energy capacity and varying service requirements, complicating optimal deployment strategies. This paper presents a system where a swarm of UAVs operates within a designated area to provide wireless communication services, enhanced by Reflecting Intelligent Surfaces (RIS). We introduce an optimization framework to maximize UAV throughput and improve Quality of Service (QoS) through effective path planning and optimization of phase shift configurations for multiple RIS units. Given the complexity of this optimization problem, traditional linear programming methods are insufficient for real-time decision-making. We propose a two-step solution that integrates a genetic algorithm with double deep reinforcement learning (GA-DDRL) to address this challenge. Extensive simulations compare the GA-DDRL approach against two other solutions: a standard DRL method and a reinforcement learning algorithm. Results indicate that our approach achieves significant improvements, with the GA-DDRL method resulting in approximately a 28.57% increase in data rate and enhanced QoS compared to the traditional DRL algorithm. © 2024 IEEE.

关键词： Quality of service

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